David Diller
Papers
1
Total Citations
16
H-Index
1
About
David Diller is a leading researcher in the fields of intelligent tutoring systems, human-computer interaction, and complex skills training. His major contributions center on the development of innovative methodologies for capturing and modeling expert performance to power adaptive, computer-based instruction. Diller’s most notable work, “Development and application of a multi-modal task analysis to support intelligent tutoring of complex skills” (2018), has garnered 16 citations and established a foundational framework for his research. This paper introduces a novel multi-modal task analysis approach that integrates diverse data sources—such as verbal protocols, eye-tracking, and performance logs—to create richer, more accurate task models. By enabling intelligent systems to better interpret and respond to student actions, Diller’s work directly advances the effectiveness of automated training in domains like aviation, medicine, and military operations. His research bridges cognitive science and engineering, providing practical tools for designing next-generation educational technologies that can adapt to individual learners’ needs. Diller’s contributions are essential reading for anyone interested in the intersection of cognitive task analysis and intelligent tutoring system design.
Research Focus
Key Achievements
Top Papers
- 1